PSY : Statistical Methods in Psychology Mon/Wed/Fri, 10:00am-10:53am, Javitz 103 Stony Brook University, Fall 2017

Size: px

Start display at page:

Download "PSY : Statistical Methods in Psychology Mon/Wed/Fri, 10:00am-10:53am, Javitz 103 Stony Brook University, Fall 2017"

Marshall Atkins
6 years ago
Views:

1 Instructor: Graduate TAs: Undergrad TAs: PSY : Statistical Methods in Psychology Mon/Wed/Fri, 10:00am-10:53am, Javitz 103 Stony Brook University, Fall 2017 Kristin Bernard, Ph.D. Office Phone: Psychology B 226, Office hours: Mon 9:00-10:00, Fri 11:00-1:00 Samantha Chen (yen-wen.chen@stonybrook.edu) Psychology B 325, Office hours: Thurs 10:00-12:00 *Primary contact for ing if your last name begins with A through L Ryan Wales (ryan.wales@stonybrook.edu) Psychology B 339, Office hours: Tues/Thurs 1:00-2:00 *Primary contact for ing if your last name begins with M through Z Nicolle Feldman (nicolle.feldman@stonybrook.edu) *Flexible office hours by appointment ( to schedule) Kimberly Halloran (kimberly.halloran@stonybrook.edu) *Flexible office hours by appointment ( to schedule) General Course PSY201, Section 02 Statistical Methods in Psychology Information: Mon/Wed/Fri, 10:00am-10:53am, Javitz 103 This course satisfies the DEC category C and SBC category QPS. This course does not have any formal prerequisites. Course Description: The use and interpretation of elementary statistical techniques in (as per Bulletin) research, emphasizing descriptive statistics, correlational analysis, and inferential statistics, including chi-square, t-tests, and an introduction to the analysis of variance. May not be taken for credit after AMS 102, ECO 320, POL 201, or SOC 202. This course has been designated as a High Demand/Controlled Access (HD/CA) course. Students registering for HD/CA courses for the first time will have priority to do so. Course Learning Objectives: Textbook: Subscription: Calculator: This course is a conceptual and practical introduction to statistics, as used in psychology and the behavioral sciences. By the end of the semester, students should be able to: (1) demonstrate a foundational knowledge of statistical concepts, (2) select and perform appropriate statistical analyses to solve problems, and (3) interpret, evaluate, and draw inferences about the methodology and results of research reports. Required: Statistics for Social Sciences (Interactive Text). Top Hat. Required: Student subscription to Top Hat. You need a basic calculator capable of computing square roots. Fancy calculators that can draw graphs or store equations are not allowed. YOU MUST BRING YOUR CALCULATOR TO EVERY CLASS AND EXAM. 1

2 Course Policies and Expectations Attendance and classroom protocol: Attendance is expected and essential, and will be factored into course grades (See below under Assignments and Grading). It is important that students arrive on time and stay the duration of the class period. Students should not talk on cell phones, text, or browse the Internet during class time. Arriving late and leaving early can interfere with class activities. Students may be asked to leave the class if their behavior is distracting or disruptive to other students or the instructor. Preparation: It is important that students keep up with the assigned readings and review the lecture supplements regularly. Completing the practice problems in the textbook are essential in helping students understand the material. Statistics is unlike other courses, in that it is nearly impossible to learn everything at one time. Instead, statistics requires learning basic concepts and then building on them in an incremental fashion. Thus it is critical to keep up- right from the beginning of the course. Top Hat: Top Hat is a class response system that allows for multiple forms of in-class engagement. Subscription to Top Hat is required for all students. Attendance will be collected using Top Hat (see below). Further, the required interactive textbook and course slides will be available on Top Hat. Blackboard: Much of the course information will be available on Blackboard, making it easy for students to do such things as access a copy of the syllabus, determine office hours/locations, obtain homework assignments, and review important course announcements. Make sure that the address you have registered with Blackboard is the one that you currently use. Assignments and Grading Attendance (Required): On all non-exam days (except the first day of class), attendance will be checked using Top Hat. Students can use their phone or computer to confirm their attendance. Attendance will be collected at the beginning of class (open for the first 5 minutes) and at the end of class. Students will receive one attendance point every time they check-in. Thus, students can receive a total of 74 attendance points (2 times per day, on 37 non-exam days). Students attendance will be calculated at the end of the semester out of a 64 points (10 attendance points given for free). Attendance will count for 5% of the final course grade. Missed attendance cannot be made up. Students arriving more than 5 minutes late for class will not earn an attendance point for the beginning of that class, and students leaving early will not earn an attendance point for the end of that class. Exams (Required): Five non-cumulative exams (including the final exam) will be given during the semester. Although the exams are non-cumulative, topics build on each other and often require mastery of previously covered material. Exams contain both conceptual and computational questions (students will need their basic calculator). The lowest exam grade of the first 4 exams will be dropped. The final exam grade (for exam 5) will not be dropped, even if this is the lowest grade. The 4 highest exam grades will be averaged 2

3 together and count for 80% of the final grade. No early or make-up exams will be permitted. Students arriving more than 20 minutes late for an exam (including the final exam) will not be permitted to take the exam. Homework (Required): Five homework assignments will be given during the semester. Homework assignments will primarily focus on computational questions and will be designed to prepare you for the computational portions of the exams. The lowest homework grade of the first 4 assignments will be dropped. The grade for the fifth homework assignment will not be dropped, even if this is the lowest grade. The 4 highest homework grades will be averaged together and this averaged score will count for 20% of the final grade. Homework assignments will be assigned on Blackboard. Students should print out the assignment and show work. Homework should be submitted at the beginning of class on the due date listed on the syllabus. Students arriving more than 20 minutes late for class on these dates will not be permitted to turn in the homework assignment. No late homework or ed homework will be accepted. Students are welcome to consult with the instructor, TA, and/or classmates for homework assignments, but the submitted work should reflect each student s own efforts. Academic dishonesty will not be tolerated. Extra Credit (Optional): Extra credit may be offered throughout the semester at the instructor s discretion. Examples of opportunities for extra credit may include participation in in-class review sessions, mid-semester feedback, etc. If a student is not present when extra credit is offered, there will not be any chance to make up a missed extra credit opportunity. Students should not ask for individual opportunities for extra credit. Summary of Grading: Score = Letter Grade = A = A = B = B = B = C = C = C = D = D < 60 = F Exams: 80% of final grade As described above, five exams will be given. The lowest grade (of the first 4 exams) will be dropped. Homework assignments: 15% of final grade As described above, five homework assignments will be given. The lowest grade (of the first 4 assignments) will be dropped. Attendance: 5% of final grade As described above, attendance will be checked at the beginning and end of every class. Note that a C or greater in this course is required for psychology majors. 3

4 University Policies Disability Support Services (DSS): If you have a physical, psychological, medical or learning disability that may impact your course work, please contact Disability Support Services, ECC (Educational Communications Center) Building, room 128, (631) They will determine with you what accommodations, if any, are necessary and appropriate. All information and documentation is confidential. Academic Integrity: Each student must pursue his or her academic goals honestly and be personally accountable for all submitted work. Representing another person's work as your own is always wrong. Faculty are required to report any suspected instances of academic dishonesty to the Academic Judiciary. Faculty in the Health Sciences Center (School of Health Technology & Management, Nursing, Social Welfare, Dental Medicine) and School of Medicine are required to follow their school-specific procedures. For more comprehensive information on academic integrity, including categories of academic dishonesty, please refer to the academic judiciary website at Critical Incident Management: Stony Brook University expects students to respect the rights, privileges, and property of other people. Faculty are required to report to the Office of Judicial Affairs any disruptive behavior that interrupts their ability to teach, compromises the safety of the learning environment, or inhibits students' ability to learn. Faculty in the HSC Schools and the School of Medicine are required to follow their school-specific procedures. Course Schedule WEEK DAY DATE TOPIC READING ASSIGNMENT Mon Aug 28 Course Introduction 1 Wed Aug 30 Basic Concepts and Research Design Chapter 1 Fri Sept 1 Descriptive Statistics: Displaying Data Chapter 2 Mon Sept 4 No class: Labor Day 2 Wed Sept 6 Descriptive Statistics: Central Tendency HW 1 assigned Fri Sept 8 Descriptive Statistics: Variability Mon Sept 11 Z-scores and the Normal Curve Chapter 3 HW 1 due* 3 Wed Sept 13 Z-scores and the Normal Curve Fri Sept 15 Review for Exam 1 Mon Sept 18 Exam 1 (Ch 1, Ch 2, Ch 3) 4 Wed Sept 20 Introduction to Hypothesis Testing Chapter 4 Fri Sept 22 Introduction to Hypothesis Testing Mon Sept 25 Distribution of Means and the Z-test Chapter 5 5 Wed Sept 27 Distribution of Means and the Z-test HW 2 assigned Fri Sept 29 Errors, Effect Size, and Power Chapter 6 Mon Oct 2 Errors, Effect Size, and Power HW 2 due* 6 Wed Oct 4 Review for Exam 2 Fri Oct 6 Exam 2 (Ch 4, Ch 5, Ch 6) 4

5 Week Day Date Topic Reading Assignment Mon Oct 9 Single and Dependent t-tests Chapter 7 7 Wed Oct 11 Single and Dependent t-tests Fri Oct 13 Single and Dependent t-tests HW 3 assigned Mon Oct 16 Independent t-test Chapter 8 8 Wed Oct 18 Independent t-test HW 3 due* Fri Oct 20 Independent t-test Mon Oct 23 Review for Exam 3 9 Wed Oct 25 Exam 3 (Ch 7, Ch 8) Fri Oct 27 Analysis of Variance Chapter 9 Mon Oct 30 Analysis of Variance 10 Wed Nov 1 Analysis of Variance HW 4 assigned Fri Nov 3 Factorial ANOVA Chapter 10 Mon Nov 6 Factorial ANOVA HW 4 due* 11 Wed Nov 8 Factorial ANOVA Fri Nov 10 Review for Exam 4 Mon Nov 13 Exam 4 (Ch 9, Ch 10) 12 Wed Nov 15 Correlation Chapter 11 Fri Nov 17 Correlation Mon Nov 20 Correlation 13 Wed Nov 22 No class: Thanksgiving Break Fri Nov 24 No class: Thanksgiving Break Mon Nov 27 Prediction Chapter 12 HW 5 assigned 14 Wed Nov 29 Prediction Fri Dec 1 Prediction Hw 5 due* Mon Dec 4 Chi-square Chapter Wed Dec 6 Chi-square Fri Dec 8 Review for Exam 5 FINAL Tues Dec 19 Final Exam (Ch 11, 12, 13) Time: 2:15-5:00pm *Homework assignments are due at the beginning of class on the dates listed. Students arriving more than 20 minutes late for class on these dates will not be able to turn in the homework assignment. 5

MAR Environmental Problems & Solutions. Stony Brook University School of Marine & Atmospheric Sciences (SoMAS)

MAR Environmental Problems & Solutions. Stony Brook University School of Marine & Atmospheric Sciences (SoMAS) MAR 340-01 Environmental Problems & Solutions Stony Brook University School of Marine & Atmospheric Sciences (SoMAS) This course satisfies the DEC category H This course satisfies the SBC category STAS